tskrrHomogeneous-class: Class tskrrHomogeneous

In xnet: Two-Step Kernel Ridge Regression for Network Predictions

Description

The class tskrrHomogeneous is a subclass of the superclass tskrr specifically for homogeneous networks.

Slots

y

the matrix with responses

k

the eigen decomposition of the kernel matrix for the rows

lambda.k

the lambda value used for k

pred

the matrix with the predictions

symmetry

a character value that can have the possible values "symmetric", "skewed" or "not". It indicates whether the y matrix is symmetric, skewed-symmetric or not symmetric.

has.hat

a logical value indicating whether the kernel hat matrices are stored in the object.

Hk

the kernel hat matrix for the rows.

labels

a list with elements k and g (see tskrr-class). For homogeneous networks, g is always NA. If k is NA, the labels used are integers indicating the row resp column number.

xnet documentation built on Feb. 4, 2020, 9:10 a.m.